The company is looking to deliver and deploy Business Intelligence (BI) and advanced data engineering solutions within the BI Engineering tool stack.
Requirements
- Strong experience in Microsoft Azure – minimum Azure Data Engineering Fundamentals certification or relevant experience
- Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Synapse, Azure SQL Pools and On-Demand Clusters, Azure Data Factory, Azure Databricks)
- Experience with data integration and ETL (Extract, Transform, Load) processes and best practices
- Familiarity with data governance, data security, and compliance frameworks
- Understanding of distributed computing principles and scalable architectures
- Deep knowledge of data ingestion strategies and understanding of the Data Lake and Dimensional data models within Azure
- Comfortable with Microsoft SQL data technologies (SSAS/SSIS/SSRS) or relevant AzureSQL, MySQL, Postgres experience
Responsibilities
- Design, implement, and maintain cloud-based data pipelines
- Implement data ingestion pipelines, integrating various, disparate data sources
- Design and optimize data storage solutions, including data lakes, data warehouses, and data marts
- Implement data processing and transformation workflows using technologies such as Azure Spark, Azure SQL Pools / data warehouses or other cloud-native data processing services
- Develop and maintain data governance and security policies
- Monitor and optimize the performance of data platforms
- Collaborate with DevOps teams to automate deployment, monitoring, and management of data platforms
Other
- Bachelor's or Master's degree in computer science, engineering, or a related field
- 4+ years of proven experience as a Data Engineer, Software Engineer, Data Architect or similar role
- Previous IT experience (SysAdmin, DBA, Application Support, Hosting, Infrastructure)
- Excellent problem-solving and troubleshooting skills
- Strong communication and collaboration skills to work effectively with cross-functional teams
- Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being
- Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally
